Dataiku DSS Description

Data analysts, engineers, scientists, and other scientists can be brought together. Automate self-service analytics and machine learning operations. Get results today, build for tomorrow. Dataiku DSS is a collaborative data science platform that allows data scientists, engineers, and data analysts to create, prototype, build, then deliver their data products more efficiently. Use notebooks (Python, R, Spark, Scala, Hive, etc.) You can also use a drag-and-drop visual interface or Python, R, Spark, Scala, Hive notebooks at every step of the predictive dataflow prototyping procedure - from wrangling to analysis and modeling. Visually profile the data at each stage of the analysis. Interactively explore your data and chart it using 25+ built in charts. Use 80+ built-in functions to prepare, enrich, blend, clean, and clean your data. Make use of Machine Learning technologies such as Scikit-Learn (MLlib), TensorFlow and Keras. In a visual UI. You can build and optimize models in Python or R, and integrate any external library of ML through code APIs.

Pricing

Free Version:
Yes
Free Trial:
Yes

Integrations

API:
Yes, Dataiku DSS has an API

Reviews - 1 Verified Review

Total
ease
features
design
support

Company Details

Company:
Dataiku
Year Founded:
2013
Headquarters:
France
Website:
www.dataiku.com

Media

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Product Details

Platforms
SaaS
Windows
Mac
Linux
Type of Training
Documentation
Live Online
Webinars
In Person
Customer Support
Phone Support
Online

Dataiku DSS Features and Options

Data Analysis Software

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Machine Learning Software

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Artificial Intelligence Software

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Science Software

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Dataiku DSS Lists

Dataiku DSS User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Business Analyst
    Length of product use: Less than 6 months
    Used How Often?: Weekly
    Role: User
    Organization Size: 500 - 999
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Dataiku - Review

    Date: Jun 17 2020

    Summary: I have recently started using Dataiku for data science projects, the tool is very good. Supports a lot of data sources, and various programming languages. I have used the inbuilt jupyter notes in Dataiku. You can set optimizations as per requirement like you can optimize F1 score or recall or AUC which is a very interesting feature and can be put to great use.

    On an overall level, it is a very good tool for data science projects.

    Positive: (+) Integration with various data sources like snowflake, s3, and many other platforms.
    (+) You can code in various languages like python, R, SQL.
    (+) Easy to use and adapt and has a very neat interface.
    (+) You can create a flowchart of your entire project in a pictorial representation.
    (+) Multiple collaborators can work at a time on a single project.

    Negative: (-) Limited representation (Visualization) capabilities.
    (-) Its inability to compile the entire code into one document.
    (-) Reloading of code is an issue (UI Problem).

    Read More...
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